Model Order Reduction

Methodologies for Circuit Simulation

The very high dimensional problems that emerge […] may be solvable with the help of computer algebra in an unreasonable amount of time only. Clearly, this conflicts with the short time-to-market demands in industry. Model Order Reduction (MOR) presents a way out of this dilemma. Redundancies are resolved, less relevant quantities are replaced by the most significant ones. The input-output behaviour of a building block maintains its characteristics, but its size is reduced. Solving lower dimensional problems one can obtain statements on the circuit’s performance more quickly.

M. Striebel, J. Rommes, Model order reduction of nonlinear systems in circuit simulation: status and applications, P. Benner, M. Hinze, E.J.W. ter Maten (Eds.), Lecture Notes in Electrical Engineering, Vol. 74, Springer, 2011, pp. 289-302 .

2007 -2009